使用各种超重校正剂量算法和生物标志物对卡博普拉丁的药理学研究,对具有不同BMI类别的患者进行
Mart P Kicken1,2,3, Corine Bethlehem1,4, Karin Beunen5
1Department of Clinical Pharmacy, Rijnstate Hospital, Arnhem, the Netherlands.
Therapeutic drug monitoring
|April 29, 2025
概括
与标准配方相比,调整后的柯克克罗夫特-高尔特 (aCG) 公式没有改善卡博普拉丁剂量预测. 然而,囊素C在估计不同体重类别的碳烯清除量方面表现出更高的准确性.
科学领域:
- 药理动力学 药理动力学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 在瘤学瘤学.
背景情况:
- 考克克罗夫特-高尔特 (CG) 公式可能会在超重个体中高估功能和卡博普拉丁剂量.
- 一个调整的CG公式 (aCG) 已开发,以考虑超重状态.
研究的目的:
- 评估aCG公式在预测不同体重指数 (BMI) 的患者中碳烯清除的准确性.
- 为了将aCG与其他功能生物标志物进行对比,用于卡博普拉丁剂量.
主要方法:
- 展望性药理动力学研究涉及18名患者,按BMI (正常,超重,肥胖) 分类.
- 使用理想体重和肌素值上限调整的aCG配方.
- 分析了碳白超酸盐度;用于估计暴露的药理动力学建模.
- 将aCG和CG与cystatin C进行比较,24小时肌素清除和GFR估计.
主要成果:
- 与CG (MPE: +8.8%) 相比,aCG显示了对卡博普拉丁清除的轻微低估,特别是在肥胖患者中 (MPE: -10.5%).
- 赛斯塔丁C被证明是所有体重组目标AUC的最准确的预测指标 (MPE:+0.2%至-2.0%),不精确度低 (MAPE:9.5%至13.3%).
结论:
- aCG配方没有表现出优于标准CG配方的性能,用于预测碳烯清除量.
- 在这个患者队列中,cystatin C成为估计carboplatin清除值的最精确和准确的生物标志物.
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